The calculation of fitness degree of genetic algorithm is mainly based on the improvement of cross probability and mutation probability formula to enhance the adaptability of genetic algorithm, ...

Keywords: genetic algorithm, food selection, intelligent systems, restaurant, personalized nutritional status Citation: Seminar KB, Damayanthi E, Priandana K, Imantho H, Ligar BW, Seminar AU, ...

When using a genetic algorithm, it is important to carefully set the population size and the mutation and crossover rate. A small population size, or a high mutation rate, might prevent the ...

Genetic mutation in a quarter of all Labradors hard-wires them for obesity Date: March 6, 2024 Source: University of Cambridge Summary: New research finds around a quarter of Labrador retriever ...

To start go to 'main.py' and create your environnemnt with uavs, tasks and recharging tasks. If needed change the uav's constants inside the 'Uav.py' class. In the 'AlgoConstants.py' there are the ...

2 Problem formulation and proposed approach Before proposing a novel approach of the genetic algorithm to solve the PSSE problem, some terms, such as gene, individual, and population, are introduced ...

PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch. PyGAD supports optimizing both single ...

It’s clear to see that without viewer personalization YouTube doesn’t really know what type of content to deliver to the viewer, so starts with a range. Recommended videos YouTube shares ...